saper0

adversarial_training

Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions" paper.

revisiting_robustness

The codebase used to generate the reults in the ICLR 2023 paper "Revisiting Robustness in Graph Machine Learning".

bb-api

General Purpose Branch & Bound API

deepnog

Protein orthologous group assignment with deep learning

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

graphworld

gttp-data

Data used to produce the results in "On Modelling and Solving Collaborative Tactical Transportation Planning"

hpc-linear-solver

High Performance Dense Linear Solver

lesekreis

A truly good book teaches me better than to read it. I must soon lay it down, and commence living on its hint. What I began by reading, I must finish by acting. - Henry David Thoreau

Mayankm96.github.io

Personal Website for Blogging

StatML

2018W - Statistical Machine Learning Course

tsp-heuristics

Heuristic Algorithms for solving the Traveling Salesman Problem

reports

saper0.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

scikit-hubness

A Python package for hubness analysis and high-dimensional data mining

seml

SEML: Slurm Experiment Management Library